{"id":"W1990029044","doi":"10.1080/19393210.2012.683881","title":"Determination of methylmercury in marine fish from coastal areas of Zhejiang, China","year":2012,"lang":"en","type":"article","venue":"Food Additives and Contaminants Part B","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Centers for Disease Control and Prevention; Chinese Center for Disease Control and Prevention","keywords":"Methylmercury; Marine fish; Fishery; China; Fish <Actinopterygii>; Geography; Environmental science; Oceanography; Environmental protection; Ecology; Biology; Archaeology; Geology; Bioaccumulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001277886,0.00009316656,0.0002102865,0.00003006816,0.00003350185,0.000003547765,0.00005001852,0.00003554323,0.001438847],"category_scores_gemma":[0.00006387544,0.0000836122,0.0000311451,0.0000849819,0.0001687507,0.0002611587,0.0001215065,0.0000458731,0.000006068802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001116803,"about_ca_system_score_gemma":0.000004008208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000542816,"about_ca_topic_score_gemma":0.001424189,"domain_scores_codex":[0.999316,0.00005068037,0.0002180398,0.0001154991,0.0001342311,0.0001655883],"domain_scores_gemma":[0.9996147,0.00009695764,0.0001376911,0.0000815196,0.000007450447,0.00006173958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003017331,0.0001319466,0.8383092,0.00001192759,0.00001855507,9.235667e-7,0.003404203,2.156135e-7,0.003031509,0.00005583922,0.0004068617,0.1545986],"study_design_scores_gemma":[0.0003646566,0.000163558,0.9729481,0.00004578323,0.00001699387,0.000001382018,0.001030437,0.00001125409,0.02218245,0.0000982861,0.003047176,0.00008987482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947984,0.00009575061,0.00005950542,0.00002896974,0.00008785415,0.0001096617,0.0006179298,0.000004085166,0.00419787],"genre_scores_gemma":[0.9993663,0.0001207119,0.0002069104,0.00002314696,0.0000311142,0.00001195618,0.00006624983,0.000005205467,0.0001683538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1545088,"threshold_uncertainty_score":0.999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548443975711435,"score_gpt":0.2479345304881603,"score_spread":0.2324500907310459,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}